{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# 编译 MXNet 模型\n",
        "\n",
        "**原作者**: [Joshua Z. Zhang](https://zhreshold.github.io/), [Kazutaka Morita](https://github.com/kazum)\n",
        "\n",
        "本文是使用 Relay 部署 mxnet 模型的介绍性教程。\n",
        "\n",
        "首先需要安装 `mxnet` 模块。\n",
        "\n",
        "快速的解决方案：\n",
        "\n",
        "```bash\n",
        "pip install mxnet --user\n",
        "```\n",
        "\n",
        "或者请参考官方的[安装指南](https://mxnet.apache.org/versions/master/install/index.html)。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# 一些标准导入\n",
        "import mxnet as mx\n",
        "import tvm\n",
        "from tvm import relay\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 从 gluon 模型动物园下载 Resnet18 模型\n",
        "\n",
        "在本节中，下载预训练好的 imagenet 模型并对图像进行分类。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "x (1, 3, 224, 224)\n"
          ]
        }
      ],
      "source": [
        "from tvm.contrib.download import download_testdata\n",
        "from PIL import Image\n",
        "from matplotlib import pyplot as plt\n",
        "\n",
        "\n",
        "img_url = \"https://github.com/dmlc/mxnet.js/blob/main/data/cat.png?raw=true\"\n",
        "img_name = \"cat.png\"\n",
        "synset_url = \"\".join(\n",
        "    [\n",
        "        \"https://gist.githubusercontent.com/zhreshold/\",\n",
        "        \"4d0b62f3d01426887599d4f7ede23ee5/raw/\",\n",
        "        \"596b27d23537e5a1b5751d2b0481ef172f58b539/\",\n",
        "        \"imagenet1000_clsid_to_human.txt\",\n",
        "    ]\n",
        ")\n",
        "synset_name = \"imagenet1000_clsid_to_human.txt\"\n",
        "img_path = download_testdata(img_url, \"cat.png\", module=\"data\")\n",
        "synset_path = download_testdata(synset_url, synset_name, module=\"data\")\n",
        "with open(synset_path) as f:\n",
        "    synset = eval(f.read())\n",
        "image = Image.open(img_path).resize((224, 224))\n",
        "plt.imshow(image)\n",
        "plt.show()\n",
        "\n",
        "\n",
        "def transform_image(image):\n",
        "    image = np.array(image) - np.array([123.0, 117.0, 104.0])\n",
        "    image /= np.array([58.395, 57.12, 57.375])\n",
        "    image = image.transpose((2, 0, 1))\n",
        "    image = image[np.newaxis, :]\n",
        "    return image\n",
        "\n",
        "\n",
        "x = transform_image(image)\n",
        "print(\"x\", x.shape)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##  编译 Graph\n",
        "\n",
        "想要将 Gluon 模型移植到便携式计算图上，仅仅需要几行代码。\n",
        "\n",
        "支持 MXNet static graph(symbol) 和 mxnet.gluon 中的 HybridBlock："
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "from mxnet.gluon.model_zoo.vision import get_model\n",
        "\n",
        "shape_dict = {\"data\": x.shape}\n",
        "\n",
        "block = get_model(\"resnet18_v1\", pretrained=True)\n",
        "mod, params = relay.frontend.from_mxnet(block, shape_dict)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "添加 `softmax` 算子以获取概率："
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "main_func = mod[\"main\"]\n",
        "func = relay.Function(main_func.params,\n",
        "                      relay.nn.softmax(main_func.body),\n",
        "                      None,\n",
        "                      main_func.type_params, main_func.attrs)\n",
        "\n",
        "mod[\"main\"] = func"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "编译 graph："
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/media/workspace/anaconda3/envs/mxnetx/lib/python3.10/site-packages/tvm/driver/build_module.py:263: UserWarning: target_host parameter is going to be deprecated. Please pass in tvm.target.Target(target, host=target_host) instead.\n",
            "  warnings.warn(\n",
            "One or more operators have not been tuned. Please tune your model for better performance. Use DEBUG logging level to see more details.\n"
          ]
        }
      ],
      "source": [
        "target = \"cuda\"\n",
        "with tvm.transform.PassContext(opt_level=3):\n",
        "    lib = relay.build(mod, target, params=params)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "````{admonition} 已废弃的用法\n",
        "借助 {class}`~tvm.relay.function.Function`：\n",
        "```python\n",
        "func = mod[\"main\"]\n",
        "func = relay.Function(func.params,\n",
        "                      relay.nn.softmax(func.body),\n",
        "                      None,\n",
        "                      func.type_params, func.attrs)\n",
        "```\n",
        "\n",
        "{func}`~tvm.relay.build`：\n",
        "\n",
        "```python\n",
        "target = \"cuda\"\n",
        "with tvm.transform.PassContext(opt_level=3):\n",
        "    lib = relay.build(func, target, params=params)\n",
        "```\n",
        "````"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 在 TVM 上执行可移植 graph\n",
        "\n",
        "现在，想使用 TVM 重新进行相同的 forward 计算。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "from tvm.contrib import graph_executor\n",
        "\n",
        "# tvm.cuda(0)\n",
        "dev = tvm.device(dev_type=target,\n",
        "                 dev_id=0)\n",
        "dtype = \"float32\"\n",
        "m = graph_executor.GraphModule(lib[\"default\"](dev))\n",
        "# set inputs\n",
        "m.set_input(\"data\", tvm.nd.array(x.astype(dtype)))\n",
        "# execute\n",
        "m.run()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "TVM prediction top-1: 282 tiger cat\n"
          ]
        }
      ],
      "source": [
        "# get outputs\n",
        "tvm_output = m.get_output(0)\n",
        "top1 = np.argmax(tvm_output.numpy()[0])\n",
        "print(\"TVM prediction top-1:\", top1, synset[top1])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 使用带有预训练权重的 MXNet symbol\n",
        "\n",
        "MXNet 经常使用 `arg_params` 和 `aux_params` 来分别存储网络参数，这里将展示如何在现有的 API 中使用这些权重。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "def block2symbol(block):\n",
        "    data = mx.sym.Variable(\"data\")\n",
        "    sym = block(data)\n",
        "    args = {}\n",
        "    auxs = {}\n",
        "    for k, v in block.collect_params().items():\n",
        "        args[k] = mx.nd.array(v.data().asnumpy())\n",
        "    return sym, args, auxs\n",
        "\n",
        "\n",
        "mx_sym, args, auxs = block2symbol(block)\n",
        "# 通常我们会保存/加载它作为检查点\n",
        "mx.model.save_checkpoint(\"resnet18_v1\", 0, mx_sym, args, auxs)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "在磁盘上生成 `'resnet18_v1-0000.params'` 和 `'resnet18_v1-symbol.json'`。"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "对于普通的 mxnet 模型，从这里开始："
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "mx_sym, args, auxs = mx.model.load_checkpoint(\"resnet18_v1\", 0)\n",
        "# 现在我们使用相同的 API 来获得 Relay 计算图\n",
        "mod, relay_params = relay.frontend.from_mxnet(mx_sym,\n",
        "                                              shape_dict,\n",
        "                                              arg_params=args,\n",
        "                                              aux_params=auxs)\n",
        "# 重复相同的步骤来使用 TVM 运行这个模型"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3.10.4 ('mxnetx')",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.4"
    },
    "vscode": {
      "interpreter": {
        "hash": "aa67ff675248b5ab29dcd2f00c1422844307085c8ca7c8ce7eddecd21b9c2975"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
